{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T14:13:35Z","timestamp":1765808015080,"version":"3.37.3"},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T00:00:00Z","timestamp":1646870400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T00:00:00Z","timestamp":1646870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100002661","name":"Fonds De La Recherche Scientifique - FNRS","doi-asserted-by":"publisher","award":["EOS 30446199"],"award-info":[{"award-number":["EOS 30446199"]}],"id":[{"id":"10.13039\/501100002661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuroinform"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1007\/s12021-022-09574-7","type":"journal-article","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T03:02:33Z","timestamp":1646881353000},"page":"811-824","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Shamo: A Tool for Electromagnetic Modeling, Simulation and Sensitivity Analysis of the Head"],"prefix":"10.1007","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5549-1861","authenticated-orcid":false,"given":"Martin","family":"Grignard","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9970-358X","authenticated-orcid":false,"given":"Christophe","family":"Geuzaine","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4990-425X","authenticated-orcid":false,"given":"Christophe","family":"Phillips","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,3,10]]},"reference":[{"key":"9574_CR1","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.neuroimage.2015.08.032","volume":"124","author":"Z Akalin Acar","year":"2016","unstructured":"Akalin Acar, Z., Acar, C. E., & Makeig, S. (2016). Simultaneous head tissue conductivity and EEG source location estimation. NeuroImage, 124, 168\u2013180 http:\/\/link.springer.com\/10.1007\/s10548-012-0274-6","journal-title":"NeuroImage"},{"key":"9574_CR2","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1007\/s10548-012-0274-6","volume":"26","author":"Z Akalin Acar","year":"2013","unstructured":"Akalin Acar, Z., & Makeig, S. (2013). Effects of forward model errors on EEG source localization. Brain Topography, 26, 378\u2013396 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811915007442","journal-title":"Brain Topography"},{"key":"9574_CR3","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1016\/j.neuroimage.2005.02.018","volume":"26","author":"J Ashburner","year":"2005","unstructured":"Ashburner, J., & Friston, K. J. (2005). Unified segmentation. NeuroImage, 26, 839\u2013851 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811905001102","journal-title":"NeuroImage"},{"key":"9574_CR4","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/s13246-010-0015-7","volume":"33","author":"MR Bashar","year":"2010","unstructured":"Bashar, M. R., Li, Y., & Wen, P. (2010). Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling. Australasian Physical & Engineering Sciences in Medicine, 33, 145\u2013152 http:\/\/link.springer.com\/10.1007\/s13246-010-0015-7","journal-title":"Australasian Physical & Engineering Sciences in Medicine"},{"key":"9574_CR5","doi-asserted-by":"crossref","unstructured":"Burger, H.\u00a0C., & Milaan, J. B.\u00a0V. (1943). Measurements of the specific resistance of the human body to direct current. Acta Medica Scandinavica, 114, 584\u2013607. https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/j.0954-6820.1943.tb11253.x","DOI":"10.1111\/j.0954-6820.1943.tb11253.x"},{"key":"9574_CR6","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1214\/15-STS531","volume":"31","author":"H Chen","year":"2016","unstructured":"Chen, H., Loeppky, J. L., Sacks, J., & Welch, W. J. (2016). Analysis methods for computer experiments: How to assess and what counts? Statistical Science, 31, 40\u201360 http:\/\/projecteuclid.org\/euclid.ss\/1455115913","journal-title":"Statistical Science"},{"key":"9574_CR7","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.neuroimage.2015.01.043","volume":"110","author":"JH Cho","year":"2015","unstructured":"Cho, J. H., Vorwerk, J., Wolters, C. H., & Kn\u00f6sche, T. R. (2015). Influence of the head model on EEG and MEG source connectivity analyses. NeuroImage, 110, 60\u201377 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811915000683","journal-title":"NeuroImage"},{"key":"9574_CR8","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.1002\/hbm.21114","volume":"32","author":"M Dannhauer","year":"2011","unstructured":"Dannhauer, M., Lanfer, B., Wolters, C. H., & Kn\u00f6sche, T. R. (2011). Modeling of the human skull in EEG source analysis. Human Brain Mapping, 32, 1383\u20131399 http:\/\/doi.wiley.com\/10.1002\/hbm.21114","journal-title":"Human Brain Mapping"},{"key":"9574_CR9","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.jocs.2015.08.008","volume":"11","author":"J Feinberg","year":"2015","unstructured":"Feinberg, J., & Langtangen, H. P. (2015). Chaospy: An open source tool for designing methods of uncertainty quantification. Journal of Computational Science, 11, 46\u201357 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877750315300119","journal-title":"Journal of Computational Science"},{"issue":"Suppl 1","key":"9574_CR10","doi-asserted-by":"publisher","first-page":"S69","DOI":"10.1016\/j.neuroimage.2004.07.016","volume":"23","author":"B Fischl","year":"2004","unstructured":"Fischl, B., Salat, D. H., van der Kouwe, A. J. W., Makris, N., S\u00e9gonne, F., Quinn, B. T., & Dale, A. M. (2004). Sequence-independent segmentation of magnetic resonance images. NeuroImage, 23(Suppl 1), S69-84. https:\/\/doi.org\/10.1016\/j.neuroimage.2004.07.016","journal-title":"NeuroImage"},{"key":"9574_CR11","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1097\/WNP.0b013e318038fb3e","volume":"24","author":"M Fuchs","year":"2007","unstructured":"Fuchs, M., Wagner, M., & Kastner, J. (2007). Development of volume conductor and source models to localize epileptic foci. Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society, 24, 101\u2013119. https:\/\/doi.org\/10.1097\/WNP.0b013e318038fb3e","journal-title":"Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society"},{"key":"9574_CR12","doi-asserted-by":"crossref","unstructured":"Gabriel, C. (1996). Compilation of the dielectric properties of body tissues at RF and microwave frequencies. Technical Report Defense Technical Information Center Fort Belvoir, VA. http:\/\/www.dtic.mil\/docs\/citations\/ADA303903","DOI":"10.21236\/ADA303903"},{"key":"9574_CR13","doi-asserted-by":"publisher","first-page":"2231","DOI":"10.1088\/0031-9155\/41\/11\/001","volume":"41","author":"C Gabriel","year":"1996","unstructured":"Gabriel, C., Gabriel, S., & Corthout, E. (1996a). The dielectric properties of biological tissues: I. Literature survey. Physics in Medicine and Biology, 41, 2231\u20132249 https:\/\/iopscience.iop.org\/article\/10.1088\/0031-9155\/41\/11\/001","journal-title":"Physics in Medicine and Biology"},{"key":"9574_CR14","doi-asserted-by":"publisher","first-page":"2251","DOI":"10.1088\/0031-9155\/41\/11\/002","volume":"41","author":"S Gabriel","year":"1996","unstructured":"Gabriel, S., Lau, R. W., & Gabriel, C. (1996b). The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Physics in Medicine and Biology, 41, 2251\u20132269 https:\/\/iopscience.iop.org\/article\/10.1088\/0031-9155\/41\/11\/002","journal-title":"Physics in Medicine and Biology"},{"key":"9574_CR15","doi-asserted-by":"publisher","first-page":"2271","DOI":"10.1088\/0031-9155\/41\/11\/003","volume":"41","author":"S Gabriel","year":"1996","unstructured":"Gabriel, S., Lau, R. W., & Gabriel, C. (1996c). The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. Physics in Medicine and Biology, 41, 2271\u20132293 https:\/\/iopscience.iop.org\/article\/10.1088\/0031-9155\/41\/11\/003","journal-title":"Physics in Medicine and Biology"},{"key":"9574_CR16","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/BF02474537","volume":"5","author":"LA Geddes","year":"1967","unstructured":"Geddes, L. A., & Baker, L. E. (1967). The specific resistance of biological material-a compendium of data for the biomedical engineer and physiologist. Medical & Biological Engineering, 5, 271\u2013293. https:\/\/doi.org\/10.1007\/BF02474537","journal-title":"Medical & Biological Engineering"},{"key":"9574_CR17","doi-asserted-by":"crossref","unstructured":"Geuzaine, C. (2007). GetDP: a general finite-element solver for the de Rham complex. PAMM Volume 7 Issue 1. Special Issue: Sixth International Congress on Industrial Applied Mathematics (ICIAM07) and GAMM Annual Meeting, Z\u00fcrich 2007, 7, https:\/\/doi.org\/10.1002\/pamm.200700750","DOI":"10.1002\/pamm.200700750"},{"key":"9574_CR18","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1002\/nme.2579","volume":"79","author":"C Geuzaine","year":"2009","unstructured":"Geuzaine, C., & Remacle, J. F. (2009). Gmsh: a three-dimensional finite element mesh generator with built-in pre- ad post-processing facilities. International Journal for Numerical Methods in Engineering, 79, 1309\u20131331. https:\/\/doi.org\/10.1002\/nme.2579.","journal-title":"International Journal for Numerical Methods in Engineering"},{"key":"9574_CR19","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.neuroimage.2010.02.014","volume":"51","author":"D G\u00fcllmar","year":"2010","unstructured":"G\u00fcllmar, D., Haueisen, J., & Reichenbach, J. R. (2010). Influence of anisotropic electrical conductivity in white matter tissue on the EEG\/MEG forward and inverse solution. A high-resolution whole head simulation study. NeuroImage, 51, 145\u2013163 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811910001825","journal-title":"NeuroImage"},{"key":"9574_CR20","doi-asserted-by":"publisher","unstructured":"Goncalves, S., de\u00a0Munck, J., Verbunt, J., Bijma, F., Heethaar, R., & Lopes\u00a0da Silva, F. (2003). In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head. IEEE Transactions on Biomedical Engineering, 50, 754\u2013767. Conference Name: IEEE Transactions on Biomedical Engineering. https:\/\/doi.org\/10.1109\/TBME.2003.812164","DOI":"10.1109\/TBME.2003.812164"},{"key":"9574_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fnins.2013.00267","volume":"7","author":"A Gramfort","year":"2013","unstructured":"Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., et al. (2013). MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience, 7, 1\u201313. https:\/\/doi.org\/10.3389\/fnins.2013.00267","journal-title":"Frontiers in Neuroscience"},{"key":"9574_CR22","unstructured":"Grignard, M. (2021a). shamo. https:\/\/doi.org\/10.5281\/zenodo.4420811"},{"key":"9574_CR23","unstructured":"Grignard, M. (2021b). shamo documentation. https:\/\/cyclotronresearchcentre.github.io\/shamo\/index.html"},{"key":"9574_CR24","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1186\/1743-0003-4-46","volume":"4","author":"H Hallez","year":"2007","unstructured":"Hallez, H., Vanrumste, B., Grech, R., Muscat, J., De Clercq, W., Vergult, A., et al. (2007). Review on solving the forward problem in EEG source analysis. Journal of NeuroEngineering and Rehabilitation, 4, 46 https:\/\/jneuroengrehab.biomedcentral.com\/articles\/10.1186\/1743-0003-4-46","journal-title":"Journal of NeuroEngineering and Rehabilitation"},{"key":"9574_CR25","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/BF01386213","volume":"2","author":"JH Halton","year":"1960","unstructured":"Halton, J. H. (1960). On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals. Numerische Mathematik, 2, 84\u201390 http:\/\/link.springer.com\/10.1007\/BF01386213","journal-title":"Numerische Mathematik"},{"key":"9574_CR26","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1007\/BF02584472","volume":"23","author":"J Haueisen","year":"1995","unstructured":"Haueisen, J., Ramon, C., Czapski, P., & Eiselt, M. (1995). On the influence of volume currents and extended sources on neuromagnetic fields: A simulation study. Annals of Biomedical Engineering, 23, 728\u2013739 http:\/\/link.springer.com\/10.1007\/BF02584472","journal-title":"Annals of Biomedical Engineering"},{"key":"9574_CR27","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1109\/10.605429","volume":"44","author":"J Haueisen","year":"1997","unstructured":"Haueisen, J., Ramon, C., Eiselt, M., Brauer, H., & Nowak, H. (1997). Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head. IEEE Transactions on Biomedical Engineering, 44, 727\u2013735 http:\/\/ieeexplore.ieee.org\/document\/605429\/","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"9574_CR28","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1006\/nimg.2001.0962","volume":"15","author":"J Haueisen","year":"2002","unstructured":"Haueisen, J., Tuch, D., Ramon, C., Schimpf, P., Wedeen, V., George, J., & Belliveau, J. (2002). The influence of brain tissue anisotropy on human EEG and MEG. NeuroImage, 15, 159\u2013166 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811901909620","journal-title":"NeuroImage"},{"key":"9574_CR29","doi-asserted-by":"publisher","first-page":"97","DOI":"10.21105\/joss.00097","volume":"2","author":"J Herman","year":"2017","unstructured":"Herman, J., & Usher, W. (2017). SALib: An open-source Python library for sensitivity snalysis. Journal of Open Source Software, 2, 97 https:\/\/joss.theoj.org\/papers\/10.21105\/joss.00097","journal-title":"Journal of Open Source Software"},{"key":"9574_CR30","doi-asserted-by":"crossref","unstructured":"Huang, Y., Datta, A., Bikson, M., & Parra, L.\u00a0C. (2019). Realistic volumetric-approach to simulate transcranial electric stimulation-ROAST-a fully automated open-source pipeline. Journal of Neural Engineering, 16, 056006. Publisher: IOP Publishing.\u00a0https:\/\/doi.org\/10.1088\/1741-2552\/ab208d","DOI":"10.1088\/1741-2552\/ab208d"},{"key":"9574_CR31","doi-asserted-by":"crossref","unstructured":"Iacono, M. I., Neufeld, E., Akinnagbe, E., Bower, K., Wolf, J., Vogiatzis Oikonomidis, I., et al. (2015). MIDA: A multimodal imaging-based detailed anatomical model of the human head and neck. PLOS ONE, 10, e0124126 https:\/\/dx.plos.org\/10.1371\/journal.pone.0124126","DOI":"10.1371\/journal.pone.0124126"},{"key":"9574_CR32","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.zemedi.2010.07.004","volume":"21","author":"T Jochmann","year":"2011","unstructured":"Jochmann, T., G\u00fcllmar, D., Haueisen, J., & Reichenbach, J. R. (2011). Influence of tissue conductivity changes on the EEG signal in the human brain A simulation study. Zeitschrift f\u00fcr Medizinische Physik, 21, 102\u2013112 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0939388910000966","journal-title":"Zeitschrift f\u00fcr Medizinische Physik"},{"key":"9574_CR33","doi-asserted-by":"crossref","unstructured":"Katoch, N., Choi, B.\u00a0K., Sajib, S. Z.\u00a0K., Lee, E., Kim, H.\u00a0J., Kwon, O.\u00a0I., & Woo, E.\u00a0J. (2019). Conductivity tensor imaging of in vivo human brain and experimental validation using giant vesicle suspension. IEEE Transactions on Medical Imaging, 38, 1569\u20131577. Conference Name: IEEE Transactions on Medical Imaging. https:\/\/doi.org\/10.1109\/TMI.2018.2884440","DOI":"10.1109\/TMI.2018.2884440"},{"key":"9574_CR34","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1016\/j.neuroimage.2012.05.006","volume":"62","author":"B Lanfer","year":"2012","unstructured":"Lanfer, B., Scherg, M., Dannhauer, M., Kn\u00f6sche, T., Burger, M., & Wolters, C. (2012). Influences of skull segmentation inaccuracies on EEG source analysis. NeuroImage, 62, 418\u2013431 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811912004946","journal-title":"NeuroImage"},{"key":"9574_CR35","doi-asserted-by":"crossref","unstructured":"Latikka, J., Hyttinen, J., Kuurne, T., Eskola, H., & Malmivuo, J. (2001). The conductivity of brain tissues: comparison of results in vivo and in vitro measurements. In 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 910\u2013912). Istanbul, Turkey: IEEE volume\u00a01. http:\/\/ieeexplore.ieee.org\/document\/1019092\/","DOI":"10.1109\/IEMBS.2001.1019092"},{"key":"9574_CR36","doi-asserted-by":"crossref","unstructured":"Malmivuo, J., & Plonsey, R. (1995). Bioelectromagnetism: Principles and applications of bioelectric and biomagnetic fields. Oxford University Press. https:\/\/oxford.universitypressscholarship.com\/view\/10.1093\/acprof:oso\/9780195058239.001.0001\/acprof-9780195058239","DOI":"10.1093\/acprof:oso\/9780195058239.001.0001"},{"key":"9574_CR37","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1007\/s10548-019-00710-2","volume":"32","author":"H McCann","year":"2019","unstructured":"McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in reported human head tissue electrical conductivity values. Brain Topography, 32, 825\u2013858 http:\/\/link.springer.com\/10.1007\/s10548-019-00710-2","journal-title":"Brain Topography"},{"key":"9574_CR38","doi-asserted-by":"publisher","first-page":"325","DOI":"10.3389\/fneur.2019.00325","volume":"10","author":"CM Michel","year":"2019","unstructured":"Michel, C. M., & Brunet, D. (2019). EEG source imaging: A practical review of the analysis steps. Frontiers in Neurology, 10, 325 https:\/\/www.frontiersin.org\/article\/10.3389\/fneur.2019.00325","journal-title":"Frontiers in Neurology"},{"key":"9574_CR39","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s10548-013-0313-y","volume":"27","author":"V Montes-Restrepo","year":"2014","unstructured":"Montes-Restrepo, V., van Mierlo, P., Strobbe, G., Staelens, S., Vandenberghe, S., & Hallez, H. (2014). Influence of skull modeling approaches on EEG source localization. Brain Topography, 27, 95\u2013111 http:\/\/link.springer.com\/10.1007\/s10548-013-0313-y","journal-title":"Brain Topography"},{"key":"9574_CR40","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1016\/j.neuroimage.2018.03.001","volume":"174","author":"JD Nielsen","year":"2018","unstructured":"Nielsen, J. D., Madsen, K. H., Puonti, O., Siebner, H. R., Bauer, C., Madsen, C. G., et al. (2018). Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art. NeuroImage, 174, 587\u2013598. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.03.001","journal-title":"NeuroImage"},{"key":"9574_CR41","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1016\/j.clinph.2018.01.065","volume":"129","author":"MR Nuwer","year":"2018","unstructured":"Nuwer, M. R. (2018). 10\u201310 electrode system for EEG recording. Clinical Neurophysiology, 129, 1103 http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1388245718300907","journal-title":"Clinical Neurophysiology"},{"key":"9574_CR42","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., et al. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825\u20132830.","journal-title":"Journal of Machine Learning Research"},{"key":"9574_CR43","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1007\/BF02476917","volume":"29","author":"R Plonsey","year":"1967","unstructured":"Plonsey, R., & Heppner, D. B. (1967). Considerations of quasi-stationarity in electrophysiological systems. The Bulletin of Mathematical Biophysics, 29, 657\u2013664. https:\/\/doi.org\/10.1007\/BF02476917","journal-title":"The Bulletin of Mathematical Biophysics"},{"key":"9574_CR44","doi-asserted-by":"crossref","unstructured":"Puonti, O., Van Leemput, K., Saturnino, G. B., Siebner, H. R., Madsen, K. H., & Thielscher, A. (2020). Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling. NeuroImage, 219, 117044. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811920305309","DOI":"10.1016\/j.neuroimage.2020.117044"},{"key":"9574_CR45","doi-asserted-by":"crossref","unstructured":"Rasmussen, C.\u00a0E., & Williams, C. K.\u00a0I. (2006). Gaussian processes for machine learning. Adaptive computation and machine learning. Cambridge, Mass: MIT Press. OCLC: ocm61285753.","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"9574_CR46","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1007\/s10439-007-9343-5","volume":"35","author":"RJ Sadleir","year":"2007","unstructured":"Sadleir, R. J., & Argibay, A. (2007). Modeling skull electrical properties. Annals of Biomedical Engineering, 35, 1699\u20131712 http:\/\/link.springer.com\/10.1007\/s10439-007-9343-5","journal-title":"Annals of Biomedical Engineering"},{"key":"9574_CR47","doi-asserted-by":"crossref","unstructured":"Sajib, S. Z.\u00a0K., Jeong, W.\u00a0C., Kyung, E.\u00a0J., Kim, H.\u00a0B., Oh, T.\u00a0I., Kim, H.\u00a0J., Kwon, O.\u00a0I., & Woo, E.\u00a0J. (2016). Experimental evaluation of electrical conductivity imaging of anisotropic brain tissues using a combination of diffusion tensor imaging and magnetic resonance electrical impedance tomography. AIP Advances, 6, 065109. Publisher: American Institute of Physics. https:\/\/aip.scitation.org\/doi\/full\/10.1063\/1.4953893","DOI":"10.1063\/1.4953893"},{"key":"9574_CR48","unstructured":"Saltelli, A. (Ed.) (2008). Global sensitivity analysis: the primer. Chichester, England ; Hoboken, NJ: John Wiley. OCLC: ocn180852094."},{"key":"9574_CR49","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.cpc.2009.09.018","volume":"181","author":"A Saltelli","year":"2010","unstructured":"Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications, 181, 259\u2013270 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0010465509003087","journal-title":"Computer Physics Communications"},{"key":"9574_CR50","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1016\/j.neuroimage.2018.12.053","volume":"188","author":"GB Saturnino","year":"2019","unstructured":"Saturnino, G. B., Thielscher, A., Madsen, K. H., Kn\u00f6sche, T. R., & Weise, K. (2019). A principled approach to conductivity uncertainty analysis in electric field calculations. NeuroImage, 188, 821\u2013834 http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811918322031","journal-title":"NeuroImage"},{"key":"9574_CR51","doi-asserted-by":"crossref","unstructured":"Schimpf, P.\u00a0H. (2007). Application of quasi-static magnetic reciprocity to finite element models of the MEG lead-field. IEEE Transactions on Biomedical Engineering, 54, 2082\u20132088. Conference Name: IEEE Transactions on Biomedical Engineering.\u00a0https:\/\/doi.org\/10.1109\/TBME","DOI":"10.1109\/TBME.2007.895112"},{"key":"9574_CR52","unstructured":"Schirru, A., Pampuri, S., De\u00a0Nicolao, G., & McLoone, S. (2011). Efficient marginal likelihood computation for Gaussian process regression. arXiv:1110.6546 [stat], . ArXiv: 1110.6546"},{"issue":"Suppl 1","key":"9574_CR53","doi-asserted-by":"publisher","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","volume":"23","author":"SM Smith","year":"2004","unstructured":"Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., et al. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23(Suppl 1), S208-219. https:\/\/doi.org\/10.1016\/j.neuroimage.2004.07.051","journal-title":"NeuroImage"},{"key":"9574_CR54","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/0041-5553(67)90144-9","volume":"7","author":"I Sobol","year":"1967","unstructured":"Sobol, I. (1967). On the distribution of points in a cube and the approximate evaluation of integrals. USSR Computational Mathematics and Mathematical Physics, 7, 86\u2013112 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/0041555367901449","journal-title":"USSR Computational Mathematics and Mathematical Physics"},{"key":"9574_CR55","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/0041-5553(76)90154-3","volume":"16","author":"I Sobol","year":"1976","unstructured":"Sobol, I. (1976). Uniformly distributed sequences with an additional uniform property. USSR Computational Mathematics and Mathematical Physics, 16, 236\u2013242 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/0041555376901543","journal-title":"USSR Computational Mathematics and Mathematical Physics"},{"key":"9574_CR56","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/S0378-4754(00)00270-6","volume":"55","author":"I Sobol","year":"2001","unstructured":"Sobol, I. (2001). Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates. Mathematics and Computers in Simulation, 55, 271\u2013280 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0378475400002706","journal-title":"Mathematics and Computers in Simulation"},{"key":"9574_CR57","doi-asserted-by":"crossref","unstructured":"Taberna, G. A., Samogin, J., & Mantini, D. (2021). Automated head tissue modelling based on structural magnetic resonance images for electroencephalographic source reconstruction. Neuroinformatics. http:\/\/link.springer.com\/10.1007\/s12021-020-09504-5","DOI":"10.1007\/s12021-020-09504-5"},{"key":"9574_CR58","doi-asserted-by":"crossref","unstructured":"Tadel, F., Baillet, S., Mosher, J.\u00a0C., Pantazis, D., & Leahy, R.\u00a0M. (2011). Brainstorm: A user-friendly application for MEG\/EEG analysis. Computational Intelligence and Neuroscience, 2011, e879716. Publisher: Hindawi. https:\/\/www.hindawi.com\/journals\/cin\/2011\/879716\/","DOI":"10.1155\/2011\/879716"},{"key":"9574_CR59","unstructured":"The CGAL Project (2020). CGAL user and reference manual. (5th ed.). CGAL Editorial Board. https:\/\/doc.cgal.org\/5.0.3\/Manual\/packages.html"},{"key":"9574_CR60","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1109\/EMBC.2015.7318340","volume-title":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","author":"A Thielscher","year":"2015","unstructured":"Thielscher, A., Antunes, A., & Saturnino, G. B. (2015). Field modeling for transcranial magnetic stimulation: A useful tool to understand the physiological effects of TMS? 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 222\u2013225). Milan: IEEE http:\/\/ieeexplore.ieee.org\/document\/7318340\/"},{"key":"9574_CR61","doi-asserted-by":"publisher","first-page":"11697","DOI":"10.1073\/pnas.171473898","volume":"98","author":"DS Tuch","year":"2001","unstructured":"Tuch, D. S., Wedeen, V. J., Dale, A. M., George, J. S., & Belliveau, J. W. (2001). Conductivity tensor mapping of the human brain using diffusion tensor MRI. Proceedings of the National Academy of Sciences, 98, 11697\u201311701 http:\/\/www.pnas.org\/cgi\/doi\/10.1073\/pnas.171473898","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"9574_CR62","doi-asserted-by":"crossref","unstructured":"Vallaghe, S., & Clerc, M. (2009). A global sensitivity analysis of three- and four-layer EEG conductivity models. IEEE Transactions on Biomedical Engineering, 56, 988\u2013995. Conference Name: IEEE Transactions on Biomedical Engineering. https:\/\/doi.org\/10.1109\/TBME.2008.2009315","DOI":"10.1109\/TBME.2008.2009315"},{"key":"9574_CR63","doi-asserted-by":"crossref","unstructured":"Vorwerk, J., Aydin, U., Wolters, C., & Butson, C. (2019). Influence of head tissue conductivity uncertainties on EEG dipole reconstruction. Frontiers in Neuroscience, 13.\u00a0https:\/\/doi.org\/10.1186\/s12938-018-0463-y","DOI":"10.3389\/fnins.2019.00531"},{"key":"9574_CR64","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1186\/s12938-018-0463-y","volume":"17","author":"J Vorwerk","year":"2018","unstructured":"Vorwerk, J., Oostenveld, R., Piastra, M. C., Magyari, L., & Wolters, C. H. (2018). The FieldTrip-SimBio pipeline for EEG forward solutions. BioMedical Engineering Online, 17, 37. https:\/\/doi.org\/10.1186\/s12938-018-0463-y","journal-title":"BioMedical Engineering Online"},{"key":"9574_CR65","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1114\/1.1310220","volume":"28","author":"D Weinstein","year":"2000","unstructured":"Weinstein, D., Zhukov, L., & Johnson, C. (2000). Lead field basis for FEM source localization. Annals of Biomedical Engineering, 28, 1059\u20131065. https:\/\/doi.org\/10.1114\/1.1310220.","journal-title":"Annals of Biomedical Engineering"},{"key":"9574_CR66","doi-asserted-by":"crossref","unstructured":"Windhoff, M., Opitz, A., & Thielscher, A. (2013). Electric field calculations in brain stimulation based on finite elements: An optimized processing pipeline for the generation and usage of accurate individual head models. Human Brain Mapping, 34, 923\u2013935. https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/hbm.21479","DOI":"10.1002\/hbm.21479"},{"key":"9574_CR67","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1016\/j.neuroimage.2005.10.014","volume":"30","author":"C Wolters","year":"2006","unstructured":"Wolters, C., Anwander, A., Tricoche, X., Weinstein, D., Koch, M., & MacLeod, R. (2006). Influence of tissue conductivity anisotropy on EEG\/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modeling. NeuroImage, 30, 813\u2013826 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811905007871","journal-title":"NeuroImage"},{"key":"9574_CR68","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1007\/s11517-018-1845-9","volume":"56","author":"Z Wu","year":"2018","unstructured":"Wu, Z., Liu, Y., Hong, M., & Yu, X. (2018). A review of anisotropic conductivity models of brain white matter based on diffusion tensor imaging. Medical & Biological Engineering & Computing, 56, 1325\u20131332 http:\/\/link.springer.com\/10.1007\/s11517-018-1845-9","journal-title":"Medical & Biological Engineering & Computing"},{"key":"9574_CR69","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1016\/j.neuroimage.2014.08.056","volume":"103","author":"E Ziegler","year":"2014","unstructured":"Ziegler, E., Chellappa, S. L., Gaggioni, G., Ly, J. Q., Vandewalle, G., Andr\u00e9, E., et al. (2014). A finite-element reciprocity solution for EEG forward modeling with realistic individual head models. NeuroImage, 103, 542\u2013551 https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811914007307","journal-title":"NeuroImage"}],"container-title":["Neuroinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-022-09574-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12021-022-09574-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-022-09574-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T23:11:15Z","timestamp":1665270675000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12021-022-09574-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,10]]},"references-count":69,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,7]]}},"alternative-id":["9574"],"URL":"https:\/\/doi.org\/10.1007\/s12021-022-09574-7","relation":{},"ISSN":["1539-2791","1559-0089"],"issn-type":[{"type":"print","value":"1539-2791"},{"type":"electronic","value":"1559-0089"}],"subject":[],"published":{"date-parts":[[2022,3,10]]},"assertion":[{"value":"10 February 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}